JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Improved Decoupled Control and Islanding Detection of Inverter-Based Distribution in Multibus Microgrid Systems
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Journal of Power Electronics
  • Volume 16, Issue 4,  2016, pp.1526-1540
  • Publisher : The Korean Institute of Power Electronics
  • DOI : 10.6113/JPE.2016.16.4.1526
 Title & Authors
Improved Decoupled Control and Islanding Detection of Inverter-Based Distribution in Multibus Microgrid Systems
Pinto, Smitha Joyce; Panda, Gayadhar;
  PDF(new window)
 Abstract
This work mainly discusses an accurate and fast islanding detection based on fractional wavelet packet transform (FRWPT)for multibus microgrid systems. The proposed protection scheme uses combined desirable features retrieved from discrete fractional Fourier transform (FRFT) and wavelet packet transform (WPT) techniques, which provides precise time-frequency information on minute perturbation signals introduced in the system. Moreover, this study focuses on the design of decoupling control with a distributed controller based on state feedback for the efficient operation of microgrid systems that are transitioning from the grid-connected mode to the islanded mode. An IEEE 9-bus test system with inverter based distributed generation (DG) units is considered for islanding assessment and smooth operation. Finally, tracking errors are greatly reduced with stability improvement based on the proposed controller. FRWPT based islanding detection is demonstrated via a time domain simulation of the system. Simulated results show an improvement in system stability with the application of the proposed controller and accurate islanding detection based on the FRWPT technique in comparison with the results obtained by applying the wavelet transform (WT) and WPT.
 Keywords
Decoupled controller;Fractional wavelet packet transform;Islanding detection;Microgrid;Observer;Power flow control;
 Language
English
 Cited by
 References
1.
J. M. Carrasco, L. G. Franquelo, J. T. Bialasiewicz, E. Galvan, R. C. Portillo Guiesado, M. A. M. Prats, J. I. Leon, and N. Moreno-Alfonso, “Power electronic systems for the grid integration of renewable energy sources: A survey,” IEEE Trans. Ind. Electron., Vol. 53, No. 4, pp. 1002-1016, Jun. 2006. crossref(new window)

2.
M. Hamzeh, H. Karimi, and H. Mokhtari, “Harmonic and negative-sequence current control in an islanded multi-bus MV microgrid,” IEEE Trans. Smart Grid, Vol. 5, No. 1, pp. 167-176, Jan. 2014. crossref(new window)

3.
F. Gao and M. R. Iravani, “A control strategy for a distribuited generation unit in grid-connected and autonomous modes of operation,” IEEE Trans. Power Del., Vol. 23, No. 2, pp. 850-859, Apr. 2008. crossref(new window)

4.
F. Blaabjerg, R. Tedorescu, M. Liserre and A. V. Timbus, “Overview of control and grid synchronization for distributed power generation systems,” IEEE Trans. Ind. Electron., Vol. 53, No. 5, pp. 1398-1409, Oct. 2006. crossref(new window)

5.
M. Liserre, F. Blaabjerg, and S. Hansen, “Design and control of an LCL filter based three-phase active rectifier,” IEEE Trans. Ind. Appl., Vol. 41, No. 5, pp. 1281-1291, Sep./Oct. 2005. crossref(new window)

6.
Y. Li, D. M. Vilathgamuwa, and P. C. Loh, “Design, analysis and real-time testing of a controller for multibus microgrid system,” IEEE Trans. Power Electron., Vol. 19, No. 5, pp. 1195-1204, Sep. 2004. crossref(new window)

7.
M. Bouheraoua, J. Wang, and K. Atallah, “Design and implementation of an observer-based state feedback controller for a pseudo direct drive,” IET Electr. Power Appl., Vol. 7, No. 8, pp. 643-653, Sep. 2013. crossref(new window)

8.
B. Li, M. Zhang, L. Huang, and L. M. Tolbert, “A new optimized pole placement strategy of grid-connected inverter with LCL-filter based on state variable feedback and state observer,” IEEE Conference, pp.2900-2906, 2013.

9.
S. E. Saarakkala and M. Hinkkanen, “State-space speed control of two-mass mechanical systems: Analytical tuning and experimental evaluation,” IEEE Trans. Ind. Appl., Vol. 50, No. 5, pp. 3428-3437, Sep./Oct. 2014. crossref(new window)

10.
M. A. Mahmud, M. J. Hossain, H. R. Pota, and A. M. T. Oo, “Robust nonlinear distributed controller design for active and reactive power sharing in islanded microgrids,” IEEE Trans. Energy Convers., Vol. 29, No. 4, pp. 893-903, Dec. 2014. crossref(new window)

11.
K. N. E. K. Ahmad, J. Selvaraj, and N. A. Rahim, “A review of the islanding detection methods in grid connected PV inverters,” Renewable and sustainable Energy Reviews, Vol. 21, pp.756-766, May 2013. crossref(new window)

12.
F. De Mango, M. Liserre, A. Dell’Aquila, and A. Pigazo, “Overview of anti-islanding algoithms, Part-I: Passive methods,” 12th International power electronics and motion control conference (EPE-PEMC), pp. 1878-1883, 2006.

13.
F. De Mango, M. Liserre, A. Dell’Aquila, and A. Pigazo, “Overview of anti-islanding algoithms, Part-I: Active methods,” 12th International power electronics and motion control conference (EPE-PEMC), pp.1884-1889, 2006.

14.
C. L. Tryillo, D. Velasco, E. Figueres, and G. Garcera, “Analysis of active islanding detection methods for grid connected micro inverters for renewable energy processing,” Applied Energy, Vol. 87, No. 11, pp. 3591-3605, Nov. 2010. crossref(new window)

15.
P. Mahat, Z. Chen, and B. Bak-Jensen, “A hybrid islanding detection technique using average rate of voltage change and real power shift,” IEEE Trans. Power Del., Vol. 24, No. 2, pp. 764-771, Apr. 2009. crossref(new window)

16.
J. A. Laghari, H. Mokhilis, M. Karimi, A. H. A. Bakar, and H. Mohamad, “Computational intelligence based techniques for islanding detection of distributed generation in distribution network: A review,” Energy conversion and Management, Vol. 88, pp. 139-152, Dec. 2014. crossref(new window)

17.
S. R. Mohanty, N. Kishor, P. K. Ray, and J. P. S. Catalão, “Comparative study of advanced signal processing techniques for islanding detection in a hybrid distributed generation system,” IEEE Trans. Sustain. Energy, Vol. 6, No. 1, pp.122-131, Jan. 2015. crossref(new window)

18.
S. J. Pinto and G. Panda, “Wavelet technique based islanding detection and improved repetitive current control for reliable operation of grid-connected PV systems,” Journal of Electrical Power and Energy Systems, Vol. 67, pp. 39-51, May 2015. crossref(new window)

19.
P. K. Ray, S. R. Mohanty, and N. Kishor, “Disturbance detection in grid-connected distributed generation system using wavelet and S-transform,” Electr. Power Syst. Res. Vol. 81, No. 3, pp. 805-819, Mar. 2011. crossref(new window)

20.
Z. L. Gaing, “Wavelet based neural network for power disturbance recognition and classification,” IEEE. Trans. Power Del., Vol. 19, No. 4, pp. 1560-1568, Oct. 2004. crossref(new window)

21.
M. A. S. K. Khan, T. S. Radwan, and M. A. Rahman, “Wavelet packet transform protection of disturbances in three-phase interior permanent magnet motor fed from sinusoidal PWM voltage source inverter,” IEEE Conference on CCECE.CCGEI, pp. 178-181, 2006.

22.
S. J. Pinto and G. Panda, “Performance evaluation of WPT based detection for grid-connected PV systems,” Journal of Electrical Power and Energy Systems, Vol. 78, pp. 537-546, Jun. 2016. crossref(new window)

23.
S. A. Saleh, A. S. Aljankawey, R. Meng, J. Meng, C. P. Diduch, and L. Chang, “Anti islanding protection based on signatures extracted from the instantaneous apparent power,” IEEE Trans. Power Electron., Vol. 29, No. 11, pp. 5872-5891, Nov. 2014. crossref(new window)